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Neural networks

Bayesian Uncertainty-aware Deep Learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection

Deeksha M. Shama, Archana Venkataraman

Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks

Lei Ren, Shixin Jin

A multi-modal co-attention model for accurate drug-target interaction prediction

Wanjun Ma, Wenjun Li, [ ... ], Xiwei Tang

China runoff-field forecasting based on cross-scale gating and basin-topology attention

Aiju Li, Xiang He, [ ... ], Jian Hua

Traffic condition prediction for highway within work zones under dynamic traffic organization changes

Feiping Xu, Bohan Liu, [ ... ], Chengcheng Wang

Multi-scale closed-loop tuning via spatial frequency collaborative sensitivity for rice leaf disease detection

Yandong Song, Kang An, Lidong Wang, Bin Zhou

Perceptual no-reference image quality assessment with meta-learning by graph representation learning and multi-scale feature fusion

Yanru Jia, Longsheng Wei

Comparative evaluation of deep learning models for plant disease classification with edge-aware performance analysis

Zirije Hasani, Jakup Fondaj, Dionesa Bytyqi, Sufjan Misini

Hybrid quantum-classical neural networks for real-time fault detection in power systems

Hina Hashmi, Aman Kumar, [ ... ], Arshad Hashmi

A Hybrid AI-Mathematical approach for epidemic threshold prediction in metapopulation networks: Integrating physics-guided neural networks with spectral graph theory

Etienne Kouokam

Tree ring segmentation performance in highly disturbed trees using deep learning

Joe David Zambrano-Suárez, Jorge Pérez-Martín, Alberto Muñoz-Torrero Manchado, Juan Antonio Ballesteros Cánovas

All-optical doubly resonant cavities for energy-efficient ReLU function in nanophotonic deep learning

Amirreza Ahmadnejad, Mohammad Mehrdad Asadi, Somayyeh Koohi

EMP: Enhanced Multi-modal Prediction for fashion sales using Fourier Mapping and ERP-based contrastive learning

Sanguk Park, Byungyoon Park, [ ... ], Wooju Kim

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